جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Computational Linguistics
• Dependency Parsing
• +۳ مورد دیگر

Prof. Dr. Gülşen Eryiğit is a Professor at Istanbul Technical University within the Faculty of Computer and Informatics , Department of Artificial Intelligence and Data Engineering . She founded and directs the ITU Natural Language Processing Group , Turkey's leading team in Turkish-language NLP, and serves as Senior Action Editor for ACL RR , Director of ITU TÖMER (Turkish Language Teaching Center), and Co-Chair of the EU UniDive Cost Action WG3. Education: PhD in Computer Engineering from ITU (2007), MSc and BSc from ITU and Marmara University Research: Focuses on Natural Language Processing for Turkish, including dependency parsing , coreference resolution , multiword expressions , and language education technology Her recent work involves multilingual transfer learning , LLM applications for Turkish text simplification, and gamification for morphology education. She has received prestigious awards like the Siemens Excellence Award and TÜBİTAK's Above Threshold Award . Her research has produced 65+ publications and 29+ projects funded by EU, TÜBİTAK, and industry partners. Scientific Awards: Siemens Excellence Award (2007) Above Threshold Award (TÜBİTAK, 2015) Certificate of Appreciation (EU 7th Framework, 2012) Thank You Plaque (ITU, 2017) The ITU NLP Group under her leadership has developed Turkey's first licensed NLP software exported internationally. She collaborates with European institutions through COST actions and participates in ACL, CoNLL, and LREC conferences. Her lab focuses on language technology for Turkish , including sign language processing and social media normalization.

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +۹ مورد دیگر

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

Ayşe Nihan AVCIمشاهده پروفایل

استادیار

• Lighting Design
• Health and Well-Being in Interior Spaces
• OLED Lighting Technology
• +۴ مورد دیگر

Dr. Ayşe Nihan AVCI is an Assistant Professor at the Department of Interior Architecture, Faculty of Architecture at Çankaya University. She holds a PhD in Design (2022), Master's in Interior Architecture (2017), and Bachelor's in Interior Architecture (2010) from the same institution. Her research focuses on lighting design's impact on health and well-being, biophilic design principles, and OLED/LED lighting technologies. She has been a full-time faculty member since 2015, progressing from Research Assistant (2015-2022) to Doctoral Researcher (2022-2024) before her current role. Education: PhD in Design, Çankaya University (2017-2022) MSc in Interior Architecture, Çankaya University (2014-2017) BSc in Interior Architecture, Çankaya University (2005-2010) Research Interests: Her work integrates lighting science with human-centric design principles, emphasizing: Salutogenic lighting strategies for health promotion OLED technology's circadian rhythm effects Biophilic daylighting in historical buildings Visual comfort in workplaces Publications: Over 15 peer-reviewed articles (2016–2025) focus on OLED/LED lighting applications, circadian rhythms, and daylighting in heritage buildings. Recent work explores salutogenic design in coffee shop environments and workplace environmental quality. Awards: No specific awards listed, but active in academic service: Member of Aydınlatma Türk Milli Komitesi since 2017 Member of TMMOB İç Mimarlar Odası since 2010 Reviewer for journals including PLANARCH Grants & Projects: Led a university-supported research project (2020–2021) on lighting design's health impacts. Currently teaches courses on lighting design, materials science, and interior design fundamentals.

Mustafa Kircaمشاهده پروفایل

دانشیار

• Postmodernist Fiction
• Postcolonialism
• Comparative Literature
• +۵ مورد دیگر

Mustafa Kirca serves as Associate Professor of English and Comparative Literature at Çankaya University in Ankara, Turkey, where he is affiliated with the Department of Translation and Interpreting Studies. His academic profile demonstrates extensive engagement with contemporary literary theory, postcolonial studies, and comparative literature, with particular focus on the Turkish context. Kirca's research interests span postmodernist fiction, postcolonial theory, literary translation, gender studies, and cultural identity. His scholarly work consistently examines the intersections between literature, philosophy, and cultural politics, with special attention to how global literary phenomena are received and transformed in Turkish intellectual contexts. He has made significant contributions to understanding the relationship between translation studies and comparative literature, advocating for border-crossing approaches that challenge traditional disciplinary boundaries. Analysis of Kirca's publications reveals consistent engagement with postcolonial narrative strategies, particularly textual decolonization approaches that challenge Eurocentric discourses. His work frequently examines how contemporary authors like Murakami, Rushdie, and Carter negotiate cultural hybridity and identity formation. A notable thread throughout his scholarship is the examination of how literary texts engage with philosophical concepts, from Kierkegaardian existentialism to postmodern historiography, often through the lens of translation and cross-cultural reception. Kirca has co-edited several significant scholarly collections including Iris Murdoch and Her Work: Critical Essays (2010), B/Orders Unbound: Marginality, Ethnicity and Identity in Literatures (2017), and Multicultural Narratives: Traces and Perspectives (2018), demonstrating his collaborative scholarly approach and broad intellectual interests. His editorial work has created important platforms for interdisciplinary dialogue in literary and cultural studies. As an active academic, Kirca has contributed to numerous conferences on Language, Literature and Culture, with particular emphasis on how contemporary literature engages with themes of fear, identity, and cultural transformation in the post-millennial era. His work demonstrates consistent scholarly productivity with publications spanning from 2009 to the present, including the forthcoming 2025 work on Murakami's Killing Commendatore .

• Sustainable Machining Processes
• Tool Wear Monitoring
• Surface Roughness Optimization
• +۳ مورد دیگر

Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.

Aykut Koçمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Natural Language Processing
• +۱ مورد دیگر

Dr. Aykut Koç is an Associate Professor at the Department of Electrical and Electronics Engineering and a faculty member of the National Magnetic Resonance Research Center (UMRAM) at Bilkent University, Turkey. He leads the AykutKoc Lab, focusing on interdisciplinary research at the intersection of machine learning, signal processing, natural language processing, and graph signal processing. Education: B.S. in Electrical and Electronics Engineering (2005, Bilkent University); M.S. in Electrical Engineering (2007), M.S. in Management Science and Engineering (2009), and Ph.D. in Electrical Engineering (2011) under Professor Lambertus Hesselink at Stanford University; LL.B. in Law (Ankara University). His research integrates mathematical signal processing techniques (e.g., fractional Fourier and linear canonical transforms) with modern machine learning architectures like transformers and graph neural networks. Recent work explores semantic communication systems, bias mitigation in legal language models, and cross-modal applications in biomedical imaging and radar technology. Dr. Koç has published extensively in IEEE and Springer journals, with recent articles analyzing Fourier-enhanced transformers, graph-based NLP methods, and time-vertex signal analysis. His work addresses both theoretical innovations and practical applications, including schizophrenia diagnosis, legal outcome prediction, and maritime surveillance. Scientific Awards: Science Academy Young Scientists Award (BAGEP), 2023. He has supervised numerous graduate and undergraduate researchers, many of whom have transitioned to top-tier institutions such as MIT, UCLA, and TU Darmstadt. Dr. Koç actively serves as Associate Editor for multiple IEEE journals and participates in conference program committees, including EMNLP's Natural Legal Language Processing (NLLP) workshop.

A. Alperen Günayمشاهده پروفایل

استادیار

• Thermal Engineering
• Nanomaterials
• Energy Conversion Systems
• +۳ مورد دیگر

A. Alperen Günay is an Assistant Professor in the Department of Mechanical Engineering at Bilkent University . He previously served as an Assistant Professor at METU (2021-2023) and as a researcher at The University of Tokyo (2019-2021). Günay earned his PhD and MS in Mechanical Engineering from the University of Illinois at Urbana-Champaign under Dr. Nenad Miljkovic. Current Affiliation: Bilkent University Prior Affiliations: METU, University of Tokyo Education: PhD (UIUC), MS (UIUC), BS (METU) Research Focus : Developing green passive thermal devices through nanomaterials and phase change technologies. Key areas include radiative cooling , thermophotovoltaic systems , and nanomaterial-based heat sinks . His work spans energy conversion, thermal management, and optical property characterization. Scientific Awards : TÜBİTAK 2232-B Award Laboratory Leadership : Dr. Günay directs the Thermal Research & Optics Laboratory (TROL), focusing on projects like metal-organic framework systems , passive evaporative cooling , and greenhouse films for year-round thermal regulation .

• Semiotics
• Propaganda Studies
• Media History
• +۵ مورد دیگر

Caner ÇAKI is an Assistant Professor at Mucur Vocational School, Erciyes University, specializing in communication sciences with a focus on historical propaganda analysis. His academic journey includes a PhD from Erciyes University's Institute of Social Sciences in Communication Sciences (2020), an MSc from İnönü University's Institute of Social Sciences (2016), and a BA from Karadeniz Technical University's Faculty of Communication (2012). PhD: Erciyes University, Institute of Social Sciences, Communication Sciences (2016-2020) MSc: İnönü University, Institute of Social Sciences, Communication Sciences (2013-2016) BA: Karadeniz Technical University, Faculty of Communication, Public Relations and Advertising (2007-2012) ÇAKI's research primarily focuses on semiotics and propaganda studies, with particular expertise in analyzing historical political cartoons, wartime propaganda, and visual communication across different eras and political systems. His work spans multiple historical periods including World War I, World War II, the Cultural Revolution in China, and Cold War dynamics. His extensive publication record (over 150 publications) demonstrates a consistent focus on propaganda mechanisms across different historical contexts and political systems. His recent work (2023-2025) shows a continued emphasis on visual propaganda analysis, with particular attention to World War-era propaganda, Chinese Cultural Revolution materials, and historical political cartoon analysis across multiple national contexts including German, French, British, and Ottoman/Turkish media. Collaborating with researchers such as Mehmet Ozan Gülada, Mehmet Ali Gazi, Mustafa Karaca, and Abdülhakim Bahadır Darı, ÇAKI has established himself as a significant contributor to the field of historical propaganda analysis with a strong focus on visual communication methods. He teaches courses including Advertising Film, Effective Speaking and Communication, Public Relations Concepts and Theories, Popular Culture and Media, and Basic Information Technology Usage at the vocational school level, demonstrating his commitment to both theoretical research and practical education in media studies.

Berrak Burçak Della Faveمشاهده پروفایل

استادیار

• Ottoman History
• Modern Turkish Political History
• Modernization Studies
• +۳ مورد دیگر

Berrak Burçak Della Fave is an Assistant Professor in the Department of History at Bilkent University. She holds a Ph.D. in Near Eastern Studies from Princeton University (2005) and specializes in the history of Ottoman-Turkish modernization and the political history of modern Turkey. Education : Ph.D., Near Eastern Studies, Princeton University, 2005 Her research intersects Ottoman history , gender studies , and science-society relations . Key themes include: Fashion and health as expressions of identity (e.g., ‘The question of the corset’ in late Ottoman history) Hygienic beauty standards in the Hamidian era Diplomatic history through the lens of the Ottoman embassy institution Urban symbolism in Ankara's political development Recent publications (2022–2023) explore global intellectual histories , including critiques of Orientalism at the 1893 World’s Columbian Exposition. She contributes to journals like British Journal of Middle Eastern Studies and Middle Eastern Studies .

Morteza Ghorbaniمشاهده پروفایل

پژوهشگر

• Environmental Engineering
• Fluid Mechanics
• Nanotechnology
• +۳ مورد دیگر

Dr. Morteza Ghorbani is a researcher and faculty member at Sabancı University's Faculty of Engineering and Natural Sciences (FENS), specializing in fluid mechanics and environmental engineering. He leads the AquaCav project, a collaborative effort with Oxford Brookes University, focused on developing sustainable water treatment solutions using hydrodynamic and acoustic cavitation. His research addresses global challenges such as PFAS pollution and wastewater management, with applications in biomedical devices and energy-efficient technologies. Key collaborations include projects funded by the International Science Partnership Fund (ISPF), leveraging his expertise in microfluidic systems and cavitation dynamics. Dr. Ghorbani's work combines experimental and numerical methods to optimize cavitation-based processes for environmental and biomedical applications. His contributions span from fundamental fluid dynamics studies to applied technologies like flexible cystoscopes and clot-on-a-chip platforms. Scientific achievements include the ISPF Research Collaboration Grant (2024) and advancements in PFAS removal, graphene exfoliation, and microalgae cultivation. His research group at Sabancı University explores interdisciplinary solutions at the intersection of engineering, nanotechnology, and sustainability.

Ahmet ÖZMENمشاهده پروفایل

استاد

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +۶ مورد دیگر

Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.

Seda Kundakمشاهده پروفایل

استاد

• Disaster Risk Management
• Seismic Risk Assessment
• Urban Resilience
• +۵ مورد دیگر

Professor Seda Kundak at Istanbul Technical University's Faculty of Architecture is a leading expert in Disaster Risk Management , Urban Resilience , and Multi-hazard Impact Chains . She has served as Program Head, Deputy Head of Department, and Commission President at Istanbul Technical University's Urban and Regional Planning Department since 2010. PhD in Urban Planning (Istanbul Technical University) Research focus: Seismic Risk, Climate Change Adaptation, Disaster Logistics Her scientific work includes 21 research outputs (Scopus h-index: 94) analyzing earthquake scenarios, compound disasters, and systemic risk assessment. Recent articles explore Impact Chains frameworks and Istanbul's seismic risk dynamics. Awards : SRA Fellow (2022) SRA/Sigma Xi Distinguished Lecturer (2017) She leads the PARATUS Project (€2,064,375 budget) developing open-source tools for multi-hazard risk assessment and has completed 5 major research projects on disaster logistics since 2005.

• Artificial Intelligence
• Robotics
• Deep Learning
• +۵ مورد دیگر

Ozgur S. Oguz is an Assistant Professor at Bilkent University , Faculty of Computer Engineering, and the lead of the Learning for Intelligent Robotic Agents (LiRA) Lab . His research focuses on enhancing autonomous agents' capabilities in learning, reasoning, and planning, particularly for robotics applications. Education : PhD in Computer Science from TU Munich , studies at University of British Columbia (UBC) and Koç University , postdoctoral work at University of Stuttgart and Max Planck Institute for Intelligent Systems . His research explores algorithms for autonomous decision-making, with emphasis on deep learning , reinforcement learning , and robotics . Recent work includes diffusion-based reinforcement learning , hindsight experience prioritization , and hybrid manipulation planning , often addressing challenges in sequential task execution and tactile-based control. Key trends in his publications revolve around robotic manipulation , motion planning , and human-robot interaction . He has contributed to conferences like NeurIPS , ICRA , IROS , and journals such as IEEE TRO and Scientific Reports .

• Image/Video Processing
• Computer Vision
• Remote Sensing
• +۳ مورد دیگر

Prof. Hasan F. Ateş is a Professor at Özyeğin University's Faculty of Engineering, Department of Computer Engineering, specializing in Artificial Intelligence. He joined Özyeğin University as a full-time Professor in 2022 after holding positions at Sabancı University (2004-2005), Işık University (2005-2018), and İstanbul Medipol University (2018-2022). His academic journey began with a B.S. in Electrical and Electronics Engineering from Bilkent University in 1998, followed by M.A. and Ph.D. degrees in Electrical Engineering from Princeton University in 2000 and 2004, respectively. Prof. Ateş's educational background includes: Doctorate in Electrical Engineering, Princeton University, 2004 Master's in Electrical Engineering, Princeton University, 2000 Bachelor's in Electrical and Electronics Engineering, Bilkent University, 1998 His research focuses on the intersection of deep learning and visual information processing, with particular emphasis on image/video processing, computer vision, remote sensing, autonomous systems, and artificial intelligence. Prof. Ateş leads the Deep-VIP Laboratory, which applies deep learning to solve diverse problems in computer vision and image processing. The lab's work spans multiple sectors including defense, telecommunications, medicine, retail, and consumer electronics. Analysis of Prof. Ateş's recent publications reveals a strong focus on advanced deep learning techniques for visual information processing. His work prominently features state-space models, transformer architectures, and hybrid neural approaches applied to problems like super-resolution, 3D reconstruction, object detection, and medical imaging. Notably, there's a growing emphasis on domain adaptation techniques and cross-spectral registration methods, reflecting the increasing complexity of real-world vision applications. Prof. Ateş's contributions have been recognized through several prestigious awards: First place in the 24th Alper Atalay Best Student Paper Competition (2025) Third place in the Master's Thesis category of the 5DT Thesis Competition (2025) As a dedicated mentor, Prof. Ateş has supervised numerous graduate students through their research journeys. His lab, Deep-VIP, has successfully guided students like İ. Can Yağmur (MS thesis on "Self-Supervised Deep Learning for Multispectral Image Matching") and Gökçe Güven (PhD thesis on "DEEP LEARNING TECHNIQUES FOR 3D VOLUME RECONSTRUCTION FROM PLANAR X-RAY IMAGES"). The lab maintains active collaborations with industry partners including Vestel, Tübitak Bilgem, and Obase, securing research funding for cutting-edge projects in computer vision and deep learning. The Deep-VIP Laboratory is at the forefront of deep learning based computer vision research, with current projects focusing on Image Registration, Tiny Object Detection in Aerial Imagery, Building Height Estimation from Satellite Images, 3D Reconstruction, and Super-Resolution Imaging. The lab's recent work has been presented at major conferences including SIU, IGARSS, and ECAI, demonstrating their commitment to advancing both theoretical understanding and practical applications of visual intelligence systems.

Tülin Haşlamanمشاهده پروفایل

دانشیار

• Educational Technology
• Instructional Design
• Self-Regulated Learning
• +۳ مورد دیگر

Tülin Haşlaman is an Associate Professor at the Department of Elementary Education - Primary Education, TED University. She holds roles as a Coordinator and Vice Head of Department. Her teaching portfolio includes courses such as Instructional Technologies, Technology-Enhanced Language Learning, and Micro Teaching, reflecting her expertise in educational technology and pedagogical innovation. Her research focuses on ICT integration in education, self-regulated learning strategies, and teacher development. Notable areas of interest include the use of digital storytelling for computational thinking, infographics in supporting student autonomy, and smartphone addiction among university students. She has also studied the impact of social media platforms like Facebook on teacher training and the integration of ICT into teaching processes. Dr. Haşlaman’s work emphasizes bridging technology with educational practices, particularly in primary education contexts. Her articles highlight themes such as pre-service teacher digital competency, disabled teachers’ technology integration challenges, and peer assessment in online environments. Despite her extensive academic contributions, she has no explicitly listed awards or grants in the provided materials. Her courses over the years span foundational education topics like Learning Environments, Observation in Schools, and Research Methods, demonstrating a commitment to both theoretical and applied aspects of education. While she has not specified any affiliated labs or teams, her teaching and research activities suggest active engagement in educational technology initiatives and teacher professional development programs.